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Student performance, MOOC logs, knowledge tracing, standardized tests, learning analytics
13,261 datasets
A 5.5 KB Excel file containing performance analysis results for deep learning models on the tasks of aspect term extraction and polarity detection. The dataset was authored by Gunjan Ansari and last updated on April 9, 2026.
5.5 KB of example results from the Rocscience software manual, authored by Chengya Hua and last updated in April 2026. The data is provided in an XLS format under a CC-BY-4.0 license on figshare.
A 5.5 KB Excel file uploaded by Kehe Zhang on April 9, 2026. The dataset contains performance metrics from a stage-one classification model, comparing results from different machine learning algorithms. It is shared under a CC-BY 4.0 license on the figshare platform.
Regression results for alpha diversity indexes and average pin test scores, authored by Maria Grazia De Iorio and shared on figshare. The dataset is a 5.5 KB Excel file last updated on April 9, 2026.
A 5.5 KB Excel file lists higher education institutions where research participants were recruited. The dataset was authored by Isa Brito Fรฉlix and last updated on April 9, โ2026. It is shared under a CC-BY-4.0 license on the figshare platform.
2400 instances of scattering parameter measurements for detecting contaminants in packaged cocoa-hazelnut spread jars using microwave sensing at 11.0 GHz. The dataset, created by Luca Urbinati, contains 1200 uncontaminated and 1200 contaminated samples across 11 classes of contaminants like metal, glass, and plastic. Each sample consists of 30 scattering parameters measured at five different microwave frequencies.
A method and case study for accommodating spatially varying highest astronomical tide levels in tsunami hazard assessments. The technique is demonstrated using the Gladstone region of Queensland, Australia, with comparisons at three sites: Lady Elliot Island, South Trees, and Rosslyn Bay. The work was presented at the 2025 Australasian Coasts & Ports Conference and published by Geoscience Australia Data.
Between 7 October and 22 November 2007, the TAN0713 survey collected 42 video transects and 6,229 still photographs in water depths of 259-2,260 meters. The survey was conducted by Geoscience Australia in collaboration with NIWA, Fugro Robertson Inc., and the University of the Sea to explore deep-sea habitats and assess petroleum potential. Video footage was recorded on mini DV tapes and later converted to digital format.
AndroidControl-CL is a dataset for Android GUI control and continual learning, released with the paper 'CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning'. The dataset contains screenshot trajectories, JSONL data files, and Parquet files for training and evaluation, with splits by task category. It was uploaded by the author 'Regimes' to Hugging Face and last updated on April 26,ๆไปฌๅ็ฐไบไธไธช้ฎ้ขใ
48-team FIFA World Cup 2026 group stage results and features for machine learning prediction models. The dataset is hosted on Kaggle and appears designed for predictive analytics tasks. Its specific creator, update date, and detailed structure are not provided.
Australian continental shelf data predicts areas where tidal currents and swell waves mobilize unconsolidated sediment. The analysis uses estimates of significant wave height, wave period, and tidal current speed over a semi-lunar cycle to quantify sediment-entraining processes. It was produced by the Australian Ocean Data Network and was last updated in April 2026.
Estimates of significant wave height and period, together with tidal current speed over a semi-lunar cycle, were used to predict sediment threshold exceedance across the Australian continental shelf. The dataset quantifies the relative importance of tidal currents and swell waves in mobilizing unconsolidated sediment. It was contributed by the Australian Ocean Data Network and last updated in April 2026.
A statistical model for translating tsunami inundation simulations across different static tidal levels, developed to improve hazard assessments. The model uses simulations at a high sea level combined with limited lower-level runs to predict changes in inundation depth with uncertainty. The approach is demonstrated for a probabilistic tsunami hazard assessment of Geraldton in Western Australia.
High-latitude ground-based vector magnetic field measurements collected at 0.5-second intervals. The data is Level 2 processed and originates from the Anchorage (HLMS) station in Alaska, part of the University of Alaska network. The dataset is authored by the National Aeronautics and Space Administration and was last updated on March 13, 2026.
WithinUsAI created a 25,000-example dataset designed to transform language models into self-rewriting, recursively self-improving systems. The dataset, last updated on April 23, 2026, aims to instill capabilities for meta-learning, adaptive thinking, and creative problem-solving. It is described as a distilled codex for developing superintelligence.
A 25,000-example dataset engineered by WithinUsAI for developing self-modifying artificial intelligence systems. The dataset is designed to facilitate self-rewriting and meta-learning capabilities in language models. It was last updated on April 23, 2026.
25,000 high-density instruction-tuning examples engineered by WithinUsAI to transform base large language models. The dataset, last updated in April 2026, is designed to create models capable of rigorous self-assessment and autonomous improvement. It aims to foster capabilities in designing training recipes, proposing architectural changes, and maintaining safety constraints.
Supplemental data for a research paper on water main failure prediction. The data was authored by Poudel, Alence and hosted on Harvard Dataverse. It was last updated on May 18, 2026.
NAWQA Program's retrospective database contains point locations for over 22,000 surface-water samples collected from 1980 to 1990. The U.S. Geological Survey compiled this historical water-quality and ancillary data from its NWIS system, state agencies, and the EPA's STORET database. Data was aggregated by study-unit personnel to determine preexisting conditions and assess nitrate contamination risk.
ACLASCollege provides a README dataset describing the Atlanta College of Liberal Arts and Sciences. The description outlines the institution's mission to democratize world-class education through autonomous AI simulation and first-principles cognitive science. The dataset was last updated on 2026-04-24.